The project includes applied Machine Learning (Supervised and Unsupervised), Reinforcement Learning algorithms, and Deep Learning models which are as follows:
- Classification
- Clustering
- Regression
- CNN (Convolutional Neural Network)
- DQN (Reinforcement Learning)
- Tanslation